Online Spatial Analysis courses

Online course – Spatial Analysis Techniques in R

Expand your R skills - learn how to analyze spatial data.  David Unwin’s online course “Spatial Analysis Techniques in R” runs Dec 14 - Jan 18 (one week off for the winter holidays) at Statistics.com.

Upcoming courses include:

• Dec  7: Smoothing in R
• Dec 14: Spatial Analysis Techniques in R (more below)
• Jan  4: Introduction to R - Statistical Analysis
• Jan 11: Data Mining in R
• Jan 18: Visualization in R with ggplot2
• Jan 25: Advanced Programming in R

“Spatial Analysis Techniques in R” will teach users how to implement spatial statistical analysis procedures using R software. Topics covered include point pattern analysis, identifying clusters, measures of spatial association, geographically weighted regression and surface procession.  The course includes a concise introduction to R, but prior familiarity with R is needed.

Dr. David Unwin is Emeritus Chair of Geography at Birkbeck College and Visiting Professor in the Department of Geomatic Engineering at University College, both in the University of London. He has authored over a hundred academic papers in the field, together with a series of texts, of which the most recent are his Geographic Information Analysis, 2nd edition (with D. O'Sullivan, 2010) and a series of edited collections at the interface between geography and computer science in Visualization in GIS (Hearnshaw and Unwin, 1994), Spatial Analytical Perspectives on GIS (Fischer, Scholten and Unwin, 1996), Virtual Reality in Geography (Fisher and Unwin, 2002) and, most recently representation issues in Re-presenting GIS (Fisher and Unwin, 2005). Participants can ask questions and exchange comments directly with Dr. Unwin via a private discussion board during the course.

Details:

http://www.statistics.com/Spatial-analysis-R

The course takes place online at Statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week.  Participate at your own convenience; there are no set times when you are required to be online.